Research in CEMNL
focuses on human perception and memory from a broad-based, computational
perspective. To shed light on these basic cognitive processes, we find
converging evidence from behavioral studies and neurophysiological measures
in combination with neural network and Bayesian modeling. Ongoing research
topics include recognition/recall memory, testing effects, metamemory, letter/word perception, face perception,
semantics, shifts of attention, and social cognition.